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sample point相关的网络例句

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与 sample point 相关的网络例句 [注:此内容来源于网络,仅供参考]

In theory, it can have an unlimited bit depth, that is, each sample point 1-8-bit, 24-bit, 32-bit or 48-bit.

在理论上它能够有无限位深,即:每样本点1-8位、 24位、32位或48位。

This paper proposes a robust filter function, called trilateral filter function, to filter the noises in the domains of surface curvature, normal and position at each sample point while the local surface is fitted in a quadratic form. By optimizing the filtering result of curvature tensor, our approach is capable of preserving the feature on the target model.

通过在扫描模型每个采样点处拟合一个二次型曲面,设计了一个鲁棒的滤波函数--三边滤波函数;应用该函数分别对模型表面上每个点的法线、曲率和位置进行滤波;通过对曲率的滤波结果进行优化,可有效地保持三维模型表面上的特征。

The easiest way to do this is to divide the sample point difference by the total difference.

做这个最简单的方法是用总计的差异值去除采样点的差异值。

And then fuzzy least square support vector machines are proposed based on support vector domain description. Data samples in the feature space are described and the smallest enclosing hypersphere is obtained. The fuzzy membership value to each sample point is determined according to the distance of each sample from the center of the hypersphere, which can reduce the effect of outliers.

该方法先对样本进行数据域描述得到一个包含该组数据的最小半径的超球,再根据特征空间中样本与超球球心的距离确定它们的隶属度,减少了奇异点的影响;把所要求解的约束凸二次优化问题转化为正定线性方程组,并采用快速Cholesky分解的方法求解该方程组。

Genetic algorithm optimization process can be seen as algorithms in the process of constant cycle of viable domain random, using the results of previous sampling probability distribution on the target point estimates, and then based on an estimate of the projected distribution of a sample point.

遗传算法优化的过程,可以看作算法在循环过程中不断对可行域进行随机抽样,利用前面抽样的结果对目标点的概率分布进行估计,然后根据估计出的分布推算下一次的抽样点。

If there is no sample point in X such that …., then every sample point with … also satisfies …..

如果X里没有类似的样本点,那么所有的带有的样本点也会满足。

They have been demonstrated to break the diffraction limit of resolution and collect the optical response of the sample point by point.

他们都能对纳米尺度的样品成像,且具有光学无损探测的特点,可观察活性样品,应用广泛。

The paper discusses the following techniques in detail: stroke extraction, selection of initial segmentation point, choice of sample point,...

本文对笔划抽取方法进行了详细介绍,另外还对拟合过程中初始分段点的确定、取样点的选取、轮廓数据的平滑处理等问题进行了探讨,取得了较好的拟合效果。

We firstly introduce several common linear algorithms of fundamental matrix, and then we give the algorithm named as six point Random Sample Consensus algorithm.

首先介绍了几种常见的求基本矩阵的线性算法;然后给出基本矩阵的6点随机抽样一致算法—Random Sample Consensus。

Based on moving least squares surface, the differential properties of each sample point on PSO are first evaluated. In terms of covariance analysis, the elliptical splat of sample point is then determined on its tangent plane. Finally, the splats are rendered from far to near by using elliptical weighted average filtering. According to the differential properties, moreover, the suggestive contours of PSG are attained so that non-photorealistic rendering of PSG is realized.

首先根据构造的移动最小二乘曲面计算采样点的表面几何属性,然后根据协方差分析确定点元在其切平面上的椭圆表示,最后采用椭圆加权平均滤波从远到近单遍绘制各点元,此外,根据表面几何属性确定点模型的轮廓线,实现了点模型的非真实感绘制。

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